Data & Analytics Engineer

Data & Analytics Engineer: pyspark • databricks • aws

Why is this role awesome?
- Join a data-driven technology spin-off from a leading aviation strategy, logistics, and air cargo consultancy.
- Contribute to building SaaS tools that empower airlines to make informed commercial decisions across routes, maintenance, demand planning, operations, and forecasting.
- Work with a niche market leader, gain international exposure, and enjoy optional international travel opportunities.
- Modern tech stack includes: Angular 19 & RxJS, Nest.js, AWS, Databricks, Node.js, MongoDB, Micro-services, and CI/CD.

Projects
- Support and enhance two core SaaS products that are mature, actively used by customers, and continuously evolving.
- Contribute to a successful data product providing market insights from the supply side.
- Participate in the development and scaling of a new data product targeting the demand side, currently in its initial phase, with significant growth planned for H2 2025 and into 2026.

Role and Responsibilities
- Combine data engineering and analysis to deliver impactful solutions.
- Design, develop, and implement data pipelines to ingest and transform large volumes of data.
- Build scalable data models that power the core platform.
- Identify and analyze trends, and perform ad-hoc analysis to generate insights that help clients make informed decisions.

Team Organization & Culture
- Report to either the Product Manager or Head of Engineering (relocated from EU to Malaysia), and collaborate with a Lead Data Engineer.
- Be part of an entrepreneurial and ambitious team from Malaysia and Europe, including ex-management consultants.
- The engineering hub in Kuala Lumpur (15 staff) supports software development, data engineering, and analytics.

Must Have
- Proficiency in Python and SQL.
- Strong analytical skills and a passion for working with numbers to deliver actionable insights.
- Excellent communication and problem-solving abilities.

Nice to Have
- Experience with Databricks and/or AWS cloud infrastructure.
- Background in consulting or a quantitative degree.

Grade / Level
- 100% individual contributor role.
- 4–5+ years of hands-on data experience.
- Not suitable for data analysts with experience limited to building dashboards.

Work Arrangement
- Hybrid work model: 3 days in the office.
- Office located in Bangsar South / KL Gateway (close to MRT / LRT).